Data Science with Python

Comprehensive data science course covering Python, pandas, NumPy, scikit-learn, and machine learning algorithms.

Course Content

Python for Data Science

Python Basics

Review Python fundamentals for data science.

NumPy Arrays

Work with NumPy for numerical computing.

Data Manipulation

Pandas DataFrames

Manipulate data with pandas DataFrames.

Data Cleaning

Clean and preprocess messy datasets.

Statistical Analysis

Descriptive Statistics

Calculate and interpret statistical measures.

Machine Learning

Linear Regression

Build and evaluate linear regression models.

Classification Models

Implement classification algorithms.

Data Visualization

Matplotlib & Seaborn

Create compelling data visualizations.

Frequently Asked Questions

How long does it take to complete?

The typical completion time varies based on your pace and dedication.

Is this course suitable for beginners?

This course is designed for students of all levels.

Are there any prerequisites?

No special prerequisites are required to start learning.

Can I learn at my own pace?

Yes, most courses allow self-paced learning.

Have more questions? Visit fastmdm.com for additional information.

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